דרושים » מחשבים ורשתות » Senior DevOPS Engineer- 2603

Requirements:
4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments.
At least 3 years of proven people-management and technical leadership experience, including mentoring engineers, leading initiatives, and driving execution across teams.
Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
Deep expertise in cloud technologies and application security, with a strong focus on best practices for building secure, resilient, scalable, and cost-efficient architectures.
Extensive hands-on experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
Strong proficiency in automation and infrastructure-as-code, including Terraform, and hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins.
Solid experience with monitoring and logging solutions (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
Proficiency in scripting and programming (e.g., Node.js, Bash) to automate workflows and improve operational efficiency.
Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
Strong ownership mindset, with the ability to lead initiatives end-to-end and make data-driven technical and operational decisions.
Passion for learning new technologies and tackling complex challenges in a fast-paced, high-impact environment.
Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.

Requirements:
4+ years of hands-on experience in DevOps roles.
Experience with the full application release cycle and best practices.
Manage and develop CI/CD process tools.
Strong understanding of infrastructure & operations, including storage, networking, computing, and cloud security (Azure preferred).
Solid knowledge of Infrastructure as Code (IaC) tools such as Terraform.
Proficiency in Linux scripting and other programming languages.
Strong Python development skills beyond scripting.
Hands-on experience with Kubernetes and containerized environments.
Proven ability to work in a production environment, handling live system challenges such as performance, scalability, and security.
Strong debugging skills with the ability to identify and resolve complex technical issues.
Excellent self-management skills, with the ability to work independently in a dynamic environment.
Advantage:
Previous experience as a Tech Lead.
Experience with GitHub Actions & Jenkins.
Experience with Terragrunt as an Infrastructure as Code tool.
Experience with Service Mesh solutions.
Experience with Backstage for developer portal.

Requirements:
The Experience: 7+ years in DevOps, SRE, or Platform Engineering, with at least 5 years specifically managing high-scale cloud production workloads (AWS / GCP).
Orchestration: Deep expertise in Kubernetes and OCI container ecosystems.
IaaC Mastery: Advanced scripting and deployment skills in Terraform (Crossplane is a major plus).
CI/CD: Proven track record of designing and maintaining robust CI/CD pipelines to ensure seamless code-to-production workflows.
Networking & Connectivity: Strong grasp of advanced networking concepts, including VPCs, Load Balancing, DNS, Service Mesh, and hybrid-cloud connectivity.
Security & Compliance: Commitment to Security Best Practices - implementing "Security as Code," IAM least-privilege principles, container security, and secret management.
Version Control: Expert-level proficiency with Git, including advanced branching strategies and repository management.
Linux & Scripting: Strong Linux administration background with proficiency in Python, Bash, or PowerShell.
Observability: Hands-on experience with Prometheus, Grafana, and ELK to diagnose and resolve complex production issues.
Trouble Shooting: Fluent and comfortable working in the Linux terminal.
Education: BS in Computer Science, Engineering, or equivalent practical "in-the-trenches" experience.
Advantage:
Cloud Certified: AWS Professional level certifications (Solutions Architect or DevOps Engineer).
Modern Delivery: Experience with GitOps workflows (ArgoCD or Flux).
Messaging: Familiarity with Kafka or RabbitMQ.
Legacy/Hybrid: Experience with VMware, SQL/NoSQL databases, or older SCM tools like TFVC.
Dev Background: Youve spent time on the "other side" writing software or working with dev frameworks.

Requirements:
5+ years of hands-on DevOps experience.
Proven expertise in major Cloud environments (e.g., AWS, GCP, Azure) in production environments.
Strong experience with Kubernetes and Docker in high-scale production environments.
Experience in deploying and maintaining high-scale SaaS production infrastructure.
Expertise in CI/CD practices using tools such as GitHub Actions, Jenkins, or GitLab, and familiarity with ArgoCD.
Hands-on experience with Helm for packaging and managing Kubernetes deployments.
Infrastructure as Code proficiency with Terraform and Terragrunt.
Familiarity with monitoring stacks (e.g., Datadog, Splunk, Prometheus/Grafana, OTEL, Coralogix).
Proactive, independent self-starter who plans and executes tasks while maintaining a collaborative team presence.
Leveraged AI automation to improve DevOps workflows, enhancing system reliability, deployment speed, and operational efficiency.
A strong passion for innovation and creative problem-solving.

Requirements:
2-5 years of experience in DevOps, cloud engineering, or platform operations.
Strong hands‑on experience with AWS services and cloud architecture fundamentals.
Practical experience with Kubernetes and Red Hat OpenShift.
Proficiency with Terraform, Ansible, or similar IaC tools.
Experience building CI/CD pipelines and automating deployments.
Solid Linux administration and networking fundamentals.
Scripting skills in Python, Bash, or Go.
Understanding of container security, cloud security, and DevSecOps practices.
Preferred Qualifications
Certifications: AWS Solutions Architect, CKA/CKAD, Red Hat OpenShift, Terraform Associate.
Experience with AI‑Ops platforms or ML pipeline orchestration.
Familiarity with service mesh, API gateways, or event‑driven architectures.
Experience with multi‑cluster or hybrid cloud environments.
Background in SRE practices (SLOs, error budgets, chaos engineering).
What Success Looks Like
Reliable, automated, and secure cloud‑native infrastructure supporting rapid development cycles.
Stable and observable Kubernetes/OpenShift environments with clear operational metrics.
Reduced manual work through automation and AI‑driven insights.
Strong collaboration with engineering teams and continuous improvement of DevOps practices.

Requirements:
5+ years of experience with large‑scale cloud/web/CDN infrastructure.
Experience with on premise infrastructure.
Strong hands‑on experience with Python.
Expert‑level Linux knowledge.
Experience with AWS, Azure, or GCP.
Practical application of DevOps principles.
Experience with IaC tools (SaltStack, Ansible, Terraform).
Experience with CI/CD (GitLab, Jenkins, Git).
Familiarity with observability tools (Prometheus, Jaeger, Grafana, Fluent).
Experience with Docker, Kubernetes, Helm.
Experience with large‑scale distributed systems.
Strong communication and documentation skills.
BS/MS in Computer Science, Engineering, or equivalent experience.
Nice to have:
Experience with Go.
Experience with C/C++/Rust.
Background with Redis, Elasticsearch, Kafka, NoSQL/RDBMS.
Experience with telemetry pipelines, analytics, or visualization tools.

Requirements:
6+ years of DevOps or Infrastructure Engineering experience in high-growth product environments.
Proven track record of leading or owning complex system deployments and cloud architectures end-to-end.
Expertise in cloud platforms (preferably AWS) with strong understanding of networking, security, and scalability best practices.
Proficiency in scripting and automation using Python and Bash.
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
Deep familiarity with CI/CD systems (GitHub Actions, Jenkins, or similar) and container orchestration (Kubernetes, ECS, or EKS).
Experience building observability stacks (Prometheus, Grafana, ELK, Datadog, etc.).
Excellent collaboration and communication skills - a positive, pragmatic team player who thrives in high-velocity, tradeoff-driven environments.

Requirements:
qualifications
4+ years of experience as a DevOps engineer or site reliability engineer. deep knowledge and experience in cloud infrastructure such as aws, azure, or google cloud. strong hands-on experience operating production workloads on aws, with a clear emphasis on serverless. systems built around lambda, alongside services such as dynamodb, opensearch, s3, api gateway, eventbridge, sqs/sns, cloudfront, iam, and cloudwatch. experience with infrastructure as code (iac) tools (e.g.terraform, aws cdk, cloudformation) including understanding of stack lifecycle, changes, and operational impact. experience with containers and orchestrators (docker, kubernetes, ecs/ecr, kaniko etc.), including ownership of container build and delivery workflows. experience with ci/cd tools and configuration management systems (e.g. jenkins, git, ansible, terraform, etc.) including multi-environment deployments, promotion flows, and safe rollout strategies. practical experience with backups, restores, rollbacks, high-availability design, disaster recovery planning, and operating systems across multiple aws regions. hands-on experience building dashboards, defining monitors and alerts, instrumenting deployments with events, and managing large-scale alerting setups (e.g., datadog [preferably], cloudwatch, pagerduty). good understanding and ability to manage and append networking on cloud and cloud topology. good script skills - bash and Python. mentors others, sets technical standards, and helps raise the DevOps maturity of the team. decision-making skills: taking into account both architectural and business considerations, at times with incomplete information. proactive by nature; internal drive for excellence and improvement. used to owning systems end to end, including on-call participation, incident response, root-cause analysis, and long-term stability improvements. focused on reducing manual operational work by building automation and tooling that enables development teams safely. strong ability to use new technologies and understand them in depth through rapid self-learning. fluent in english, good writing skills. B.A in Computer Science. experience in testing methodologies and developing tests (e.g unit tests, integration tests, system tests). strong networking foundations (tcp/ip, dns, network protocols, routing). security principles and techniques (risk management, threat modeling, secure configuration). familiarity with the serverless framework. database usage experience and understanding.

Requirements:
3+ years of hands-on DevOps experience building, shipping, and operating production systems.
Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.

Requirements:
* At least 5 years experience as a DevOps Engineer
* Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
* Proven hands-on experience with containerized environments and microservices; Docker and Kubernetes - Must
* Experience with working in a multi-cloud environment AWS/GCP/Azure - Must
* Knowledge of build/release systems, CI/CD pipelines GitHub Actions/ Jenkins.
* Scripting/programming skills with Python/Bash/Typescript.
* Experience with infrastructure-as-code tools such as Pulumi and Terraform.
* Proficiency with DB such as MongoDB, CockroachDB, and Redis.
* Understanding of monitoring tools such as Coralogix, Grafana, Prometheus, and other monitoring technologies.High problem-solving skills, along with the ability to work independently